Towards reliable matching of images containing repetitive patterns

Pattern Recognition Letters

Volumn 32, Issue 14, 2011, Pages 1851-1859

  Fan, Bin ^a   Wu, Fuchao ^a   Hu, Zhanyi ^a  

^a INSTITUTE OF AUTOMATION   (China)

Author keywords

Geometric consistency; Image matching; Local descriptors; Point matching; Repetitive patterns

Indexed keywords

GEOMETRIC CONSISTENCY; INTEREST POINTS; LOCAL DESCRIPTORS; LOW DISTORTION; POINT CORRESPONDENCE; POINT-MATCHING; REAL-WORLD IMAGE; REPETITIVE PATTERN;

IMAGE MATCHING;

PROBLEM SOLVING;

EID: 80052530204     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2011.07.029     Document Type: Article

References (32)

1. Agarwal, S., Snavely, N., Simon, I., Seitz, S.M., Szeliski, R., 2009. Building rome in a day. In: Proc. Internat. Conf. on Computer Vision (ICCV), pp. 72-79.
2. Ahuja, N., Todorovic, S., 2007. Extracting texels in 2.1D natural textures. In: Proc. Internat. Conf. on Computer Vision (ICCV), pp. 1-8.
3. D. Ballard Generalizing the hough transform to detect arbitrary shapes Pattern Recognition 13 2 1981 111 122 (Pubitemid 11504608)
4. Berg, A.C., Berg, T.L., Malik, J., 2005. Shape matching and object recognition using low distortion correspondences. In: Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. 26-33.
5. Brown, M., Lowe, D., 2002. Invariant features from interest point groups. In: Proc. British Machine Vison Conf., pp. 656-665.
6. Brown, M., Lowe, D., 2003. Recognising panoramas. In: Proc. Internat. Conf. on Computer Vision (ICCV)., vol. 2. pp. 1218-1225.
7. M. Brown, G. Hua, and S. Winder Discriminative learning of local image descriptors IEEE Trans. Pattern Anal. Mach. Intell. 2010 99
8. M.-M. Cheng, F.-L. Zhang, N.J. Mitra, and S.-M. Hu Repfinder: finding approximately repeated scene elements for image editing ACM Trans. Graphics (SIGGRAPH 2010) 29 3 2010 1 8
9. O. Choi, and I.S. Kweon Robust feature point matching by preserving local geometric consistency Comput. Vision Image Understand. 113 2009 726 742
10. Duchenne, O., Bach, F., Kweon, I., Ponce, J., 2009. A tensor-based algorithm for high-order graph matching. In: Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 1980-1987.
11. M. Fischler, and R. Bolles Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography Comm. ACM 24 6 1981 381 395 (Pubitemid 12444102)
12. Y. Furukawa, and J. Ponce Accurate, dense, and robust multiview stereopsis IEEE Trans. Pattern Anal. Machine Intell. 32 8 2010 1362 1376
13. Gupta, R., Mittal, A., 2008. SMD: A locally stable monotonic change invariant feature descriptor. In: Proc. European Conf. of Computer Vision (ECCV), pp. 265-277.
14. Harris, C., Stephens, M., 1988. A combined corner and edge detector. In: Proc. Fourth Alvey Vision Conf., pp. 147-151.
15. Hays, J., Leordeanu, M., Efros, A.A., Liu, Y., 2006. Discovering texture regularity as a higher-order correspondence problem. In: Proc. European Conf. of Computer Vision (ECCV), pp. 522-535. (Pubitemid 44029752)
16. M. Heikkila, M. Pietikainen, and C. Schmid Description of interest regions with local binary patterns Pattern Recognition 42 3 2009 425 436
17. Leordeanu, M., Hebert, M., 2005. A spectral technique for correspondence problems using pairwise constraints. In: Proc. Internat. Conf. on Computer Vision (ICCV), vol. 2, pp. 1482-1489. (Pubitemid 44042353)
18. Leung, T.K., Malik, J., 1996. Detecting, localizing and grouping repeated scene elements from an image. In: Proc. European Conf. of Computer Vision (ECCV), pp. 546-555. (Pubitemid 126064351)
19. Y. Liu, R. Collins, and Y. Tsin A computational model for periodic pattern perception based on frieze and wallpaper groups IEEE Trans. Pattern Anal. Machine Intell. 26 1 2004 354 371
20. D.G. Lowe Distinctive image features from scale-invariant keypoints Internat. J. Comput. Vision 60 2 2004 91 110
21. K. Mikolajczyk, and C. Schmid A performance evaluation of local descriptors IEEE Trans. Pattern Anal. Machine Intell. 27 10 2005 1615 1630 (Pubitemid 41555406)
22. Mortensen, E., Deng, H., Shapiro, L., 2005. A SIFT descriptor with global context. In: Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. 184-190.
23. M. Pauly, N.J. Mitra, J. Wallner, H. Pottmann, and L. Guibas Discovering structural regularity in 3D geometry ACM Transactions on Graphics (SIGGRAPH 2008) 27 3 2008 1 11 No. 43
24. N. Snavely, S.M. Seitz, and R. Szeliski Photo tourism: exploring photo collections in 3D ACM Trans. Graphics (TOG) 25 3 2006 835 846 (Pubitemid 44481045)
25. R. Szeliski Image alignment and stitching: a tutorial Found. Trends Comput. Graphics Vision 2 1 2006 1 104
26. Tang, F., Lim, S.H., Chang, N., Tao, H., 2009. A novel feature descriptor invariant to complex brightness change. In: Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 2631-2638.
27. Tell, D., Carlsson, S., 2000. Wide baseline point matching using affine invariants computed from intensity profiles. In: Proc. European Conf. of Computer Vision (ECCV), pp. 814-828.
28. Tell, D., Carlsson, S., 2002. Combining appearance and topology for wide baseline matching. In: Proc. European Conf. of Computer Vision (ECCV), pp. 68-81.
29. Todorovic, S., Ahuja, N., 2009. Texel-based texture segmentation. In: Proc. Internat. Conf. on Computer Vision (ICCV), pp. 841-848.
30. E. Tola, V. Lepetit, and P. Fua DAISY: an efficient dense descriptor applied to wide-baseline stereo IEEE Trans. Pattern Anal. Machine. Intell. 32 5 2010 815 830
31. Winder, S., Hua, G., Brown, M., 2009. Picking the best DAISY. In: Proc. IEEE Conf. on Comput. Vision Pattern Recognition (CVPR), pp. 178-185.
32. J. Zhang, M. Marszalek, S. Lazebnik, and C. Schmid Local features and kernels for classification of texture and object categories: a comprehensive study Internat. J. Comput. Vision 73 2 2007 213 238 (Pubitemid 46181625)